# -*- coding: utf-8 -*-
#
# aeif_cond_beta_multisynapse.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# NEST is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with NEST.  If not, see <http://www.gnu.org/licenses/>.

"""
Example of an AEIF neuron with multiple synaptic rise and decay time constants
------------------------------------------------------------------------------

"""

import matplotlib.pyplot as plt
import nest
import numpy as np

neuron = nest.Create("aeif_cond_beta_multisynapse")
nest.SetStatus(neuron, {"V_peak": 0.0, "a": 4.0, "b": 80.5})
nest.SetStatus(
    neuron, {"E_rev": [0.0, 0.0, 0.0, -85.0], "tau_decay": [50.0, 20.0, 20.0, 20.0], "tau_rise": [10.0, 10.0, 1.0, 1.0]}
)

spike = nest.Create("spike_generator", params={"spike_times": np.array([10.0])})

voltmeter = nest.Create("voltmeter")

delays = [1.0, 300.0, 500.0, 700.0]
w = [1.0, 1.0, 1.0, 1.0]
for syn in range(4):
    nest.Connect(
        spike,
        neuron,
        syn_spec={"synapse_model": "static_synapse", "receptor_type": 1 + syn, "weight": w[syn], "delay": delays[syn]},
    )

nest.Connect(voltmeter, neuron)

nest.Simulate(1000.0)

Vms = voltmeter.get("events", "V_m")
ts = voltmeter.get("events", "times")

plt.plot(ts, Vms)
plt.show()
